39,403 research outputs found
Wanted For Poisoning Stock. MATTOON, ILL.
No full textW. J. Stotts © Cotnpany,
DETECTIVE AG£NCY.
Wanted For Poisoning Stock.
MATTOON, ILL., February 22,1902
Geo. Garrett, alias Geo. Garretty; 26 to 30 years old; weight about 146lbs, .5 feet, inches high, brown eyes, black hair, which shows a little gray about the temples. a few gray hairs show about forehead, a crescent shaped scar on left side of face; this scar shows where three stitches closed the cut; he usually wears dark clothing; he is rather self-important and is a swager.
Frank Dunlap, about 20 years old; about 5 feet I inch high, weight about 130lbs, ls smooth
face, brown hair, has knife scar on back of neck, which shows about the top of shirt collar; soft! voice, though a fast talker; a cigarette fiend; nervous and shaky; brown coat and vest, wore black pants, brown Stetson hat, black lace shoes.
There are warrants out for both; if they come your way arrest and wire me.
$25 Reward-For each delivered to the proper officer in any jail in the U. S. A.
W. J. STOTTS
2813 Champaign Avenue
Mattoon Illinoi
Stock returns and foreign investment in Brazil
No full textWe examine the relationship between stock returns and foreign investment in Brazil, and find that the inflows of foreign investment boosted the returns from 1995 to 2005. There was a strong contemporaneous correlation, although not Granger-causality. Foreign investment along with the exchange rate, the influence of the world stock markets, and country risk can explain 73 percent of the changes that occurred in the stock returns over the period. We also find that positive feedback trading played a role, and that the market promptly assimilated new information.stock returns; foreign investment; Brazilian economy
Reinventing the New Jersey Economy: New Metropolitan and Regional Employment Dynamics
No full textOver the past 150 years, New Jersey has experienced two major economic transformations, each time successfully reinventing itself. At the end of the nineteenth century, the state’s once-dominant agricultural economy had become a powerful technology-driven, urban-manufacturing economy. At the end of the twentieth century, the state’s manufacturing economy had become a powerful technology-driven, knowledge-based, suburban service economy. Now, in a vast temporal telescoping, at the end of the first decade of the twenty-first century the state faces a third transformation. However, this time, in a few short years, the underlying foundations of the second transformation had dramatically weakened. In particular, the hugely successful core geographic model of the recent past—the office-based suburban growth corridor—was no longer the state-of-the-art economic configuration. Yet, the critical mass of the state’s office capital stock remains tied to that spatial format. Such massive fixed investments can be neither quickly nor easily jettisoned. It may now be necessary to reinvent New Jersey for a third time—transforming, restructuring, and reimagining its suburban office ecosystems to adjust to the new employment and business dynamics that are emerging. Failure to do this is likely to incur high costs for the future of the state’s economy.This report was published as Issue Paper Number 33, December 2012, in Rutgers Regional Report
Stock-dependent forcing in stock and recruitment relationships
No full textNo abstracts are to be cited without prior reference to the author. Responses of fish populations to climate change involves the linkage between climate-change variables and stock and recruitment. Stock and recruitment theory links recruitment with egg production via a density-dependent mortality function. The density-dependent mortality function is required to explain the relative stability of recruitment (potential variability in egg production is many orders of magnitude greater than variation in recruitment). Yet, despite this requirement, the fit of actual stock and recruitment data to the stock and recruitment theory is generally quite poor. In this paper we focus on the sensitivity of changes in recruitment to changes in egg production and prerecruit mortality given some stock-recruitment relationship. We demonstrate that recruitment variability is more sensitive to changes in egg production when egg production is relatively small. In contrast, recruitment variability is more sensitive to changes in mortality when the stock is relatively large. Generally, egg production is driven by fishing and factors affecting adult fish, and mortality is driven by biological-physical interactions mostly affecting early life-history stages. Thus, variables that change with the magnitude of egg production must be an important unacknowledged source of error in stock and recruitment and in linking climate change with fish population variability
John Walker and J. W. Herbert Shown with Stock Certificate
No full textPhotograph: Bishop Kenny student Laura Rowland, employee Tom Brown, Episcopal High student John Walker and J. W. Herbert are shown with a stock certificate which Herbert purchased from Rowland and Walker’s company, as part of the Junior Achievement program supported by Blue Cross Blue Shield. Photo Date: 11/1/1974. Newsletter Issue: Profile 12/1974 The Studiohttps://digitalcommons.unf.edu/flablue_images/1388/thumbnail.jp
Financial analysts’ metaphorical language through the example of stock exchange comments published on the Internet
No full textIn this paper an attempt was made to reconstruct image schemes describing selected phenomena in texts written by representatives of the occupational group of stock exchange analysts. The author separated and discussed schemes based on the following source domains: HUMAN (MARKET IS HUMAN, COMPANIES ARE HUMANS), PASSIVE MOVEMENT DOWN (STOCK MARKET IS SUBJECT TO GRAVITY, STOCK MARKET RATES ARE SUBJECT TO GRAVITY, STOCK MARKET INDEXES ARE SUBJECT TO GRAVITY, STOCK MARKET IS A PULLED DOWN OBJECT, STOCK MARKETS RATES ARE PULLED DOWN OBJECTS, STOCK MARKET IS A PULLED DOWN OBJECT), LIQUID (MONEY IS LIQUID, COMPANIES ARE LIQUIDS, CAPITAL IS A FLOATING OBJECT). Unclear stylistic status of the discussed texts was highlighted, since we have here to do with an act of communication between the sender – a professional, and the recipient – an unprofessional. The analysed material cannot be therefore considered as an instance of professional language; it seems more appropriate to qualify it for a quasi‑specialized, mixed or hybrid variant.Uniwersytet WarszawskiButtler D., 1982, Miejsce języka potocznego wśród odmian współczesnego języka polskiego, [w:] Język literacki i jego warianty, red. S. Urbańczyk, Wrocław, s. 17–28.Furdal A., 1973, Klasyfikacja odmian współczesnego języka polskiego, Wrocław.Grucza F., 2002, Języki specjalistyczne – indykatory i/lub determinanty rozwoju cywilizacyjnego, [w:] „Języki Specjalistyczne”, t. 2 „Problemy Technolingwistyki”, s. 9–26.Kachniewski M., Majewski B., Wasilewski P., 2008, Rynek kapitałowy i giełda papierów wartościowych, Warszawa.Klemensiewicz Z., 1953, O różnych odmianach współczesnej polszczyzny, Warszawa.Kochan M., 2010, Mówiony język biznesu, [w:] Polskie języki. O językach zawodowych i środowiskowych, red. M.Milewska‑Stawiany, E.Rogowska‑Cybulska, Gdańsk, s. 139–175.Lakoff G., Johnson M., 2010, Metafory w naszym życiu, Warszawa.Łompieś J., 2008, Czym jest business communication?, [w:] „Debiuty Naukowe”, t. II, „Terminologia – translatoryka – terminografia”, s. 11–25.Majewska‑Wójcik A., Smoleń‑Wawrzusiszyn M., 2014, Socjolekty w wirtualnej rzeczywistości. Na przykładzie Subiektywnego słownika forumowiczów parkietu, [w:] Bogactwo współczesnej polszczyzny, red. P.Żmigrodzki, S. Przęczek‑Kisielak, Kraków, s. 365–375.Markowski A., 1992, Polszczyzna końca XX wieku, Warszawa.Pisarek W., 1991, Zróżnicowanie języka polskiego, [w:] Encyklopedia języka polskiego, red. S. Urbańczyk, Wrocław–Warszawa–Kraków–Gdańsk, s. 409–411.Pragglejaz Group, 2007, MIP: A Method for Identifying Metaphorically Used Words in Discourse, [w:] „Metaphor and Symbol”, 22(1), 1–39.Skubalanka T., 1976, Założenia analizy stylistycznej, [w:] Problemy metodologiczne współczesnego literaturoznawstwa, red. H. Markiewicz, J. Sławiński, Kraków, s. 250–273.Uniwersalny słownik języka polskiego, 2004, red. S. Dubisz (wersja 1.0).Urbańczyk S., 1968, Rozwój języka narodowego. Pojęcia i terminologia, [w:] tegoż, Szkice z dziejów języka polskiego, Warszawa, s. 7–41.Wilkoń, A., 2000, Typologia odmian językowych współczesnej polszczyzny, Katowice.Zdunkiewicz‑Jedynak D., 2008, Wykłady ze stylistyki, Warszawa.658
Temporal pattern matching for the prediction of stock prices
No full textTime series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same underlying record. Additionally, the standard segmentation methods employed in traditional clustering require instances to be classified exactly by attaching an event to a specific cluster at the exclusion of other clusters. This paper is an investigation into the predictive power of the clustering technique on stock market data and its ability to provide stock predictions that can be utilised in strategies that outperform the underlying market. This uses a brute force approach to the prediction of stock prices based on the formation of a cluster around the query sequence. The prediction is then applied in a model designed to capitalise on the derived prediction. The predictive accuracy of minimum distance clusters produced promising results with a prediction error incorporated into the forecast strategy
A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series
No full text"Iterated" multiperiod-ahead time series forecasts are made using a one-period ahead model, iterated forward for the desired number of periods, whereas "direct" forecasts are made using a horizon-specific estimated model, where the dependent variable is the multiperiod ahead value being forecasted. Which approach is better is an empirical matter: in theory, iterated forecasts are more efficient if the one-period ahead model is correctly specified, but direct forecasts are more robust to model misspecification. This paper compares empirical iterated and direct forecasts from linear univariate and bivariate models by applying simulated out-of-sample methods to 170 U.S. monthly macroeconomic time series spanning 1959-2002. The iterated forecasts typically outperform the direct forecasts, particularly, if the models can select long-lag specifications. The relative performance of the iterated forecasts improves with the forecast horizon. © 2005 Elsevier B.V. All rights reserved
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